NDLI: High-order moment methods for LRFD including random variables with unknown probability distributions

Content Provider	Springer Nature Link
Author	Lu, Zhao Hui Zhao, Yan Gang Yu, Zhi Wu
Copyright Year	2013
Abstract	The reliability-based load and resistance factors design (LRFD) has been widely used in the structural design codes. In almost all of the current reliability methods for the determination of the load and resistance factors, the basic random variables are assumed to have known probability distributions. However, in reality, the probability distributions of some of the basic random variables are often unknown due to the lack of statistical data. In this paper, the high-order moment methods for LRFD including random variables with unknown probability distributions are proposed. From the investigation of the present paper, it can be concluded that: 1) The load and resistance factors can be determined even when the probability distributions of the basic random variables are unknown; 2) The present method is convenient and more effective in estimating the load and resistance factors in practical engineering since it needs neither the iterative computation of derivatives nor any design points; 3) In the applicable range of the high-order moment method, although the load and resistance factors obtained by the proposed method may be different from those obtained by first order reliability method (FORM), the target mean resistances obtained by both methods are essentially the same.
Starting Page	288
Ending Page	295
Page Count	8
File Format	PDF
ISSN	20952430
Journal	Frontiers of Architecture and Civil Engineering in China
Volume Number	7
Issue Number	3
e-ISSN	20952449
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2013-08-02
Publisher Institution	Chinese Universities
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	high-order moment methods applicable range load and resistance factors target mean resistance Civil Engineering Cities, Countries, Regions
Content Type	Text
Resource Type	Article
Subject	Architecture Civil and Structural Engineering

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